code: def rescale_polygon(
      polygon: ArrayLike,
      scale_factor: Tuple[int, int],
      mode: str = "mul",
  ) -> np.ndarray:
      """Rescale a polygon according to scale_factor.
  
      The behavior is different depending on the mode. When mode is 'mul', the
      coordinates will be multiplied by scale_factor, which is usually used in
      preprocessing transforms such as :func:`Resize`.
      The coordinates will be divided by scale_factor if mode is 'div'. It can be
      used in postprocessors to recover the polygon in the original
      image size.
  
      Args:
          polygon (ArrayLike): A polygon. In any form can be converted
              to an 1-D numpy array. E.g. list[float], np.ndarray,
              or torch.Tensor. Polygon is written in
              [x1, y1, x2, y2, ...].
          scale_factor (tuple(int, int)): (w_scale, h_scale).
          model (str): Rescale mode. Can be 'mul' or 'div'. Defaults to 'mul'.
  
      Returns:
          np.ndarray: Rescaled polygon.
      """
      assert len(polygon) % 2 == 0
      assert mode in ["mul", "div"]
      polygon = np.array(polygon, dtype=np.float32)
      poly_shape = polygon.shape
      reshape_polygon = polygon.reshape(-1, 2)
      scale_factor = np.array(scale_factor, dtype=float)
      if mode == "div":
          scale_factor = 1 / scale_factor
      polygon = (reshape_polygon * scale_factor[None]).reshape(
          poly_shape
      )
      return polygon
  
imports: import math
  import operator
  from functools import reduce
  from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import pyclipper
  import shapely
  from mmengine.utils import is_list_of
  from shapely.geometry import MultiPolygon, Polygon
  from mmocr.utils import bbox2poly, valid_boundary
  from mmocr.utils.check_argument import is_2dlist
  from mmocr.utils.typing_utils import ArrayLike
label_desc: Use image node_id 1 for calling a global function with example usage: rescale_polygon(polygon, scale_factor, mode) and returns: polygon